3D non-stationary wideband circular tunnel channel models for high-speed train wireless communication systems

Yu Liu, Cheng-Xiang Wang, Carlos Lopez, Xiaohu Ge

Research output: Contribution to journalArticle

Abstract

This paper proposes three-dimensional (3D) non-stationary wideband circular geometry-based stochastic models (GBSMs) for high-speed train (HST) tunnel scenarios. Considering single-bounced (SB) and multiple-bounced (MB) components from the tunnel’s internal surfaces, a theoretical channel model is first established. Then, the corresponding simulation model is developed using the method of equal volume (MEV) to calculate discrete angular parameters. Based on the proposed 3D GBSMs, important time-variant statistical properties are investigated, such as the temporal autocorrelation function (ACF), spatial cross-correlation function (CCF), and space-Doppler (SD) power spectrum density (PSD). Results indicate that all statistical properties of the simulation model, verified by simulation results, can match well those of the theoretical model. The statistical properties of the proposed 3D GBSMs are further validated by relevant measurement data, demonstrating the flexibility and utility of our proposed tunnel GBSMs.

Original languageEnglish
Article number082304
JournalScience China Information Sciences
Volume60
Issue number8
Early online date13 Mar 2017
DOIs
StatePublished - Aug 2017

Fingerprint

Stochastic models
Tunnels
Geometry
Power spectrum
Autocorrelation
Communication systems

Keywords

  • channel measurement
  • GBSM
  • non-stationary
  • statistical properties
  • tunnel channel model

Cite this

Liu, Yu; Wang, Cheng-Xiang; Lopez, Carlos; Ge, Xiaohu / 3D non-stationary wideband circular tunnel channel models for high-speed train wireless communication systems.

In: Science China Information Sciences, Vol. 60, No. 8, 082304, 08.2017.

Research output: Contribution to journalArticle

@article{bad3c1d3c48e42fe8dee329566bf1e45,
title = "3D non-stationary wideband circular tunnel channel models for high-speed train wireless communication systems",
abstract = "This paper proposes three-dimensional (3D) non-stationary wideband circular geometry-based stochastic models (GBSMs) for high-speed train (HST) tunnel scenarios. Considering single-bounced (SB) and multiple-bounced (MB) components from the tunnel’s internal surfaces, a theoretical channel model is first established. Then, the corresponding simulation model is developed using the method of equal volume (MEV) to calculate discrete angular parameters. Based on the proposed 3D GBSMs, important time-variant statistical properties are investigated, such as the temporal autocorrelation function (ACF), spatial cross-correlation function (CCF), and space-Doppler (SD) power spectrum density (PSD). Results indicate that all statistical properties of the simulation model, verified by simulation results, can match well those of the theoretical model. The statistical properties of the proposed 3D GBSMs are further validated by relevant measurement data, demonstrating the flexibility and utility of our proposed tunnel GBSMs.",
keywords = "channel measurement, GBSM, non-stationary, statistical properties, tunnel channel model",
author = "Yu Liu and Cheng-Xiang Wang and Carlos Lopez and Xiaohu Ge",
year = "2017",
month = "8",
doi = "10.1007/s11432-016-9004-4",
volume = "60",
journal = "Science China Information Sciences",
issn = "1674-733X",
publisher = "Science in China Press",
number = "8",

}

3D non-stationary wideband circular tunnel channel models for high-speed train wireless communication systems. / Liu, Yu; Wang, Cheng-Xiang; Lopez, Carlos; Ge, Xiaohu.

In: Science China Information Sciences, Vol. 60, No. 8, 082304, 08.2017.

Research output: Contribution to journalArticle

TY - JOUR

T1 - 3D non-stationary wideband circular tunnel channel models for high-speed train wireless communication systems

AU - Liu,Yu

AU - Wang,Cheng-Xiang

AU - Lopez,Carlos

AU - Ge,Xiaohu

PY - 2017/8

Y1 - 2017/8

N2 - This paper proposes three-dimensional (3D) non-stationary wideband circular geometry-based stochastic models (GBSMs) for high-speed train (HST) tunnel scenarios. Considering single-bounced (SB) and multiple-bounced (MB) components from the tunnel’s internal surfaces, a theoretical channel model is first established. Then, the corresponding simulation model is developed using the method of equal volume (MEV) to calculate discrete angular parameters. Based on the proposed 3D GBSMs, important time-variant statistical properties are investigated, such as the temporal autocorrelation function (ACF), spatial cross-correlation function (CCF), and space-Doppler (SD) power spectrum density (PSD). Results indicate that all statistical properties of the simulation model, verified by simulation results, can match well those of the theoretical model. The statistical properties of the proposed 3D GBSMs are further validated by relevant measurement data, demonstrating the flexibility and utility of our proposed tunnel GBSMs.

AB - This paper proposes three-dimensional (3D) non-stationary wideband circular geometry-based stochastic models (GBSMs) for high-speed train (HST) tunnel scenarios. Considering single-bounced (SB) and multiple-bounced (MB) components from the tunnel’s internal surfaces, a theoretical channel model is first established. Then, the corresponding simulation model is developed using the method of equal volume (MEV) to calculate discrete angular parameters. Based on the proposed 3D GBSMs, important time-variant statistical properties are investigated, such as the temporal autocorrelation function (ACF), spatial cross-correlation function (CCF), and space-Doppler (SD) power spectrum density (PSD). Results indicate that all statistical properties of the simulation model, verified by simulation results, can match well those of the theoretical model. The statistical properties of the proposed 3D GBSMs are further validated by relevant measurement data, demonstrating the flexibility and utility of our proposed tunnel GBSMs.

KW - channel measurement

KW - GBSM

KW - non-stationary

KW - statistical properties

KW - tunnel channel model

UR - http://www.scopus.com/inward/record.url?scp=85015807453&partnerID=8YFLogxK

U2 - 10.1007/s11432-016-9004-4

DO - 10.1007/s11432-016-9004-4

M3 - Article

VL - 60

JO - Science China Information Sciences

T2 - Science China Information Sciences

JF - Science China Information Sciences

SN - 1674-733X

IS - 8

M1 - 082304

ER -